Kentik’s network traffic intelligence platform was built from the ground up to understand the performance of actual traffic delivery from modern applications and infrastructure, across both internal network and internet paths.
With increased reliance on cloud and data centers, providers are under more pressure to maintain real-time network visibility to reduce potential threats to their service offerings. That's why provider Immedion chose Kentik.
Enterprise networks are changing fast. Traffic volumes are growing, applications are dynamic and distributed, and some have moved outside of IT’s direct control. In this webinar, Kentik's Jim Meehan shows how advanced analytics can help address these challenges.
To thrive in the highly competitive CDN marketplace, operators must optimize their networks for performance and cost, while strategically planning capacity and growth. For that, Limelight Networks turned to Kentik.
Between cloud, SaaS, APIs, WAN, and CDNs, enterprises increasingly rely on the internet to supply and deliver their business ㄧ and it’s subsequently adding new complexities to their networks. In this webinar, guest speaker and Forrester analyst Andre Kindness and Kentik Co-founder and CEO Avi Freedman reveal how to use network analytics and monitoring for business visibility.
Misconfig or DDoS attack: how can you tell? And how do spambots keep lurking in your infrastructure cloud? Kentik’s Jim Meehan discusses these real-world examples and reveals how flow data helped with investigation and response.
While CDNs been around for years, the popularity of streaming services has pushed their traffic volume to a whole new level, causing Network Operations teams to see an explosion in traffic. Identifying the CDNs associated with their traffic has long been a challenge for these teams, but it’s gotten much easier with the introduction of the new CDN Attribution feature in Kentik Detect.
Jim Meehan, Director of Solutions Engineering at Kentik, reviews using Kentik Detect for network peering analysis and planning purposes. This can be used by service providers, content source networks, and CDNs. Because Kentik Detect correlates flow data with other variables at full resolution, it gives organizations clear information to prioritize traffic for cost and performance.